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An Application of DSD with Recursive Partitioning Scheme to Constant Temperature Power Sensors

机译:DSD对递归分区方案的应用恒温功率传感器

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The DSD (Dynamic System Doctor) is system independent, state/parameter estimation software. The DSD is based on the modeling of system evolution in terms of probability of transitions within user specified time intervals between sets of user defined parameter/state variable magnitude intervals that partition the system state space. Recently a recursive partitioning scheme has been developed for DSD that reduces the estimation time and memory requirements, as well as making DSD more user friendly. The scheme is illustrated using a non-linear model for the constant temperature power sensor, proposed for direct core power distribution monitoring in Generation 4 nuclear power reactors.
机译:DSD(动态系统医生)是系统独立的状态/参数估计软件。 DSD基于系统演变的建模,在用户特定的时间间隔内的转换内的概率上的概率,该用户定义的参数/状态可变幅度间隔之间的概率,该时间间隔在分区系统状态空间的间隔之间。最近,已经开发了一种递归分区方案,用于降低估计时间和内存要求的DSD,以及使DSD更加用户友好。使用用于恒温功率传感器的非线性模型来说明该方案,提出了第4代核电电抗器中的直接核心配电监测。

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